Evidence map›Paper›PMID 31124039›Full record

SynthesisWorld journal of pediatrics : WJP2019

FTO gene polymorphisms and obesity risk in Chinese population: a meta-analysis.

Ning-Ning Zhao, Guan-Ping Dong, Wei Wu, Jin-Ling Wang, Rahim Ullah, Jun-Fen Fu

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in World journal of pediatrics : WJP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Beyond theChildren (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Genetics of Common Obesity in Children and Adolescents.Annals of the New York Academy of Sciences · 2025
    Review
  10. Genetic Risk of MASLD in Mongolians: Role ofCurrent issues in molecular biology · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Genetic association ofJournal of cardiovascular and thoracic research · 2024
    Article
  16. Article
  17. Minor alleles in theNutrition research and practice · 2023
    Article
  18. An Association BetweenDiabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  19. Review
  20. Association of fat mass and obesity-associated (Journal of diabetes and metabolic disorders · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ning-Ning ZhaoDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, 3333, Binsheng Road, Hangzhou, 310052, China.
Guan-Ping DongDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, 3333, Binsheng Road, Hangzhou, 310052, China.
Wei WuDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, 3333, Binsheng Road, Hangzhou, 310052, China.
Jin-Ling WangDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, 3333, Binsheng Road, Hangzhou, 310052, China.
Rahim UllahDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, 3333, Binsheng Road, Hangzhou, 310052, China.
Jun-Fen FuDepartment of Endocrinology, Children's Hospital, Zhejiang University School of Medicine, 3333, Binsheng Road, Hangzhou, 310052, China. fjf68@zju.edu.cn.
Children's Hospital of Zhejiang University · CN

Funding

fundamental research funds for the central universities 2017XZZX001-01Key disciplines of medicine 11-CX24National key research and development programme of China 2016YFC1305301National Natural Science Foundation of China 81570759National Natural Science Foundation of China (CN) 81270938Zhejiang provinical key science foundation of China 2014C03045-2
6 · The paper itself

Abstract

backgroundThere is tremendous increase in obesity worldwide. Many factors including diet, life style, genetic, and epigenetic changes contribute to obesity. The fat mass and obesity-associated (FTO) gene polymorphisms are strongly associated with obesity. It has been reported that FTO single-nucleotide polymorphisms (SNPs) are associated with obesity in European populations; however, it was controversial in Chinese population. The present meta-analysis study was designed to investigate the association between FTO polymorphisms and obesity risk in Chinese population.

methodsThe investigators searched studies using the following databases: PubMed, web of science, and Cochrane Central Register of Controlled Trials. A random-effects model was used to calculate the pooled odds ratios (ORs). The heterogeneity among the studies was measured by I

resultsA total of 18 articles including 26 studies were included in the present meta-analysis. Overall, the FTO SNPs were significantly associated with obesity in Chinese population (OR 1.30; 95% CI 1.19-1.42; P < 0.001) under per-allele comparison. The subgroup analysis also showed strong association between four FTO SNPs (rs9939609, rs6499640, rs8050136, and rs1558902) and obesity risk. Furthermore, subgroup analysis stratified by children/adolescent and adult groups showed same trend.

conclusionThe present meta-analysis indicated that FTO SNPs are associated with obesity risk in both children/adolescents and adults in Chinese population.

Indexed as

Polymorphism, Single NucleotideAlpha-Ketoglutarate-Dependent Dioxygenase FTOAsian PeopleGenetic Predisposition to DiseaseHumansObesityRisk FactorsAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanChinese populationFTOObesitySNPs

Identifiers

PMID31124039
OpenAlexW2946327823

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.